# Copyright 2023-2025 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
"""Defines parameter operators with functional form."""
from mindspore.parallel.function.reshard_func import reshard as new_reshard


def reshard(tensor, layout):
    r"""
    Specify the tensor by the given layout.

    Args:
        tensor (Tensor): The tensor to be set the sharding strategy.
        layout (Layout): The layout to shard the tensor precisely, including the device
                         arrangement (device_matrix) and the alias for the device matrix
                         (alias_name).

    Returns:
        Tensor. The mathematically equivalent of the input tensor.
    """
    return new_reshard(tensor, layout)

__all__ = [
    'reshard'
]

__all__.sort()
